Database Engineer

Published date Posted on Indeed on Jul 21, 2021
Overview:
AAG, is the nation’s leading reverse mortgage lender. The company is dedicated to giving seniors a better financial outcome in retirement through the responsible use of home equity. In addition to federally-insured Home Equity Conversion (Reverse) Mortgages, AAG offers a full suite of senior home equity solutions, including traditional and proprietary mortgages and real estate services. AAG has more than 1,400 employees and a national operating footprint with offices in California, Arizona, Texas, Georgia and New York.

AAG operates by core values of Caring, Driven and Ethical and has been ranked an Orange County Top Workplace every year since 2013. Through the AAG Foundation, the company provides support to AAG employees in need, seniors in the community, and victims of human trafficking, and encourages employee participation in AAG Foundation events through its volunteer-time-off program. Through the AAG Foundation and AAG’s official employee engagement program, #ProjectInspire, employees are given a sense of higher purpose which both inspires and invigorates the workforce.

We reward hard work, promote from within and offer excellent training and career development. If this sounds like a company you are interested in joining, please review the job description below.

A data warehouse engineer is responsible for designing, developing, and maintaining data warehouse and analytics architecture to meet an enterprise’s business analysis and reporting needs.

He/she works with architects and business partners to fashion out the technical vision for applications in Data Warehouses employing SQL, SSIS, SSAS, and Snowflake

Responsibilities:
  • Design and implement, monitoring, and tuning ETL Processes using Informatica Cloud Integration Services
  • Design and implement ETL procedures for intake of data from both internal and outside sources; as well as ensure data is verified and quality is checked
  • Analyze potential data quality issues to determine the root cause, and creating effective solutions
  • Consolidate and optimize available data warehouse infrastructure utilizing SSIS/SSAS/Informatica/Snowflake
  • Create stored procedures, SSIS packages, and using other methods to import/translate/manipulate data
  • Develops, maintains and optimizes all efforts related to Data Warehouse (SSIS, Stored Procedures, Views etc.)
  • Identifies and implements optimizations to both performance and accuracy of databases, as required and appropriate.
  • Develops and adheres to standards, processes and procedures to create, deploy and maintain databases.
  • Design, implement, and maintain new and existing database objects including tables, indexes, constraints, storedprocedures, and user-defined functions in support of data conversion projects.
  • Perform the design and extension of data marts, meta data, and data models
  • Ensure all data warehouse architecture codes are maintained in a version control system.
  • Develop, monitor and maintain data marts across the enterprise, while ensuring high levels of data availability.
Qualifications:
  • Informatica Cloud Integration Services is required
  • Informatica Data Quality is a plus
  • Data Warehousing and related tools: SSAS, SSIS, SQL Server, Snowflake or Microsoft Azure Synapse
  • Azure and Cloud Certification is a plus
  • ETL Tool (preferably Informatica) SQL (Procedures, Tables, Indexes, views, triggers, functions) (MS SQL Preferred) Relational DBs like MS SQL, Oracle Data modeling tools
  • Perfect understanding of data warehousing and data modeling concepts including ETL methodologies and reconciliation techniques
  • Perfect understanding of relational databases (including tables, views, indexes, tablespaces etc.)
  • Structured thinker and effective communicator, comfortable interacting with constituents
  • Possess Bachelor’s degree in information technology, Computer science, and engineering discipline
  • 5+ years working with Informatica Integration Service
  • 10+ years or more experience performing data warehouse architecture development and management
  • Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development Solid communication skills – both written and verbal
  • Remarkable experience with technologies such as SQL Server, Snowflake as well as SSIS and stored procedures
  • Exceptional experience developing codes, testing for quality assurance, administering RDBMS, and monitoring of database
  • Strong working knowledge of application and T-SQL code and ability to demonstrate the ability to write functional requirements.
  • High proficiency in dimensional modeling techniques and their applications
  • Ability to meet deadlines
  • Excellent communication skills (written and verbal)
  • Client-facing presence and excellent business acumen.
  • Attention to detail and solid organization skills

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